No scientific instrument directly detects a “lie”. Polygraphs measure physiological responses such as respiration, cardiovascular activity and electrodermal changes. Eye-tracking or ocular-motor systems measure patterns such as pupil response, fixation and reading behaviour. Software then applies a protocol or model to decide whether the pattern is more consistent with a truthful or deceptive condition. The quality of that conclusion depends on the test design, population, question format, data quality and validation evidence.
At Trojan Investigations, we believe lie-detection services must be explained without “truth machine” language. A structured test can be useful as one source of information, but it should not replace corroborating evidence, professional interviewing, document review or a proper investigation.
Originally published: 12th January 2024 | Updated: 7th September 2026
What does lie-detection technology actually measure?
It measures responses associated with arousal, attention, cognitive effort, memory recognition or task performance. Those responses may differ when a person is deceptive under a particular test protocol, but none is a unique biological marker of lying. A result is therefore an inference produced by a method, not direct observation of a lie.
Why “Lie Detector” Is a Misleading Name
The popular phrase suggests a machine can look inside a person’s mind and identify falsehood with certainty. That is not how any established method works. Human deception is not a single physiological event. People can be anxious while truthful, calm while deceptive, confused by a question, worried about consequences or affected by medication, fatigue and individual differences.
Scientific evaluation therefore focuses on the performance of a specific protocol under specified conditions: sensitivity, specificity, false positives, false negatives, inconclusive results and whether laboratory findings generalise to real-world settings.
| Method | Primary signals | Main caution |
|---|---|---|
| Polygraph | Respiration, cardiovascular activity, electrodermal response | Arousal is not unique to deception |
| Ocular-motor / eye tracking | Pupil size, fixation, reading and eye-movement patterns | Performance depends heavily on protocol, task and model |
| Voice-stress analysis | Acoustic features claimed to reflect stress | Scientific support is inconsistent and stress is not equivalent to lying |
| Behavioural observation | Speech, timing, gestures, narrative features | Humans are generally poor at detecting lies from demeanour alone |
| AI-assisted deception models | Combinations of behavioural, physiological or linguistic features | Model validity, training labels, bias and explainability can be major limitations |
How a Polygraph Works
A polygraph records physiological channels while an examiner asks a structured set of questions. Different protocols compare responses to relevant, comparison or concealed-information stimuli in different ways. The result is based on changes in measured physiology and a scoring system, not on a sensor that recognises dishonesty directly.
The long-running scientific debate is therefore about validity: how reliably those physiological patterns distinguish deceptive from truthful people across different settings and populations.
What the National Academies Review Found
The US National Research Council’s major consensus review, The Polygraph and Lie Detection, remains an influential scientific assessment. It concluded that polygraph testing has some ability to discriminate deception from truth in specific-event testing, but that accuracy is well below perfection and the evidence base is affected by methodological limitations. It was particularly critical of using polygraph screening to detect rare security threats across large populations.
The lesson for private clients is important: an accuracy percentage should never be detached from the protocol, population and decision being made.
How Polygraphs Are Used in England and Wales
The UK government uses mandatory polygraph examinations in a defined probation and offender-management context for certain people on licence. The Ministry of Justice policy framework was updated in January 2026, and the Crime and Policing Act 2026 expanded the framework for specified offender groups.
This official use is often misunderstood. GOV.UK explains that polygraph is an additional source of risk-management information. Results are not simply treated as courtroom proof of guilt. Government guidance states that the result cannot be used in criminal proceedings against the released person and that a significant response is not, by itself, the same as proving a new offence.
Government use does not make a polygraph infallible
The probation model demonstrates a limited, structured use: trained examiners, defined questions, repeat testing and integration with wider risk management. It does not support the claim that a single private test can scientifically prove any allegation beyond doubt.
What Is Ocular-Motor or Eye-Tracking Lie Detection?
Eye-tracking approaches record involuntary or semi-involuntary ocular behaviour while a person completes a computer-administered task. Depending on the protocol, the system may analyse pupil dilation, fixation duration, reading time, saccades or patterns associated with recognising concealed information.
The underlying theory is that deception, concealment or recognition can alter cognitive workload and attention, which can in turn affect eye behaviour. This is a different measurement strategy from a polygraph, but it still produces an inference rather than reading a lie directly.
What Does the Newer Eye-Tracking Research Show?
Research is active and results vary by paradigm. A 2025 peer-reviewed mock-crime study of an ocular-motor multiple-issue screening protocol reported group classification rates ranging from 83.3% to 91.7% and item-level classification between 81.1% and 88.3% across the tested topics.
A 2026 Scientific Reports study compared an experimental eye-tracking Concealed Information Test with a polygraph under the same controlled conditions. The eye-tracking model achieved 94.9% accuracy and the polygraph 88.2% among the analysed participants, while some polygraph recordings were inconclusive.
Those are interesting findings, but they do not mean every eye-tracking test has 94.9% real-world accuracy. The study used a specific concealed-information paradigm, participant sample, controlled design and machine-learning classifier. Generalising beyond that requires independent replication and careful validation.
Never treat one study percentage as a universal product guarantee
Accuracy changes with test design, prevalence of deception, participant population, scoring threshold, inconclusive cases and the distinction between laboratory mock crimes and real high-stakes allegations.
What About EyeDetect and Similar Commercial Systems?
Commercial ocular-motor systems such as EyeDetect use computer-administered testing and algorithms to classify response patterns. The vendor publishes peer-reviewed and other research supporting its protocols. Independent peer-reviewed research also shows that eye behaviour can carry information relevant to deception or concealed knowledge under some tasks.
However, a responsible provider should distinguish vendor claims from independent evidence and explain what a particular test is validated to assess. We do not describe any system as capable of reading minds, proving guilt or replacing evidence.
Why Eye Movements Cannot Be Read Like Body-Language Myths
There is an important difference between instrumented eye tracking and popular claims such as “looking up to the right means someone is lying”. A peer-reviewed 2012 study found no support for the Neuro-Linguistic Programming claim that particular gaze directions reliably indicate lying.
Scientific eye-tracking protocols rely on measured features and defined tasks, not a simple visual rule that an interviewer can apply by watching someone’s eyes.
What About Voice Stress Analysis?
Voice-stress systems attempt to identify acoustic changes associated with stress or deception. The scientific challenge is the same one faced by many credibility tools: stress is not synonymous with lying. Voice can change because of fear, illness, language, fatigue, emotion, microphone quality and many other factors.
Any provider presenting voice stress as certain proof of dishonesty should be treated cautiously.
Can Artificial Intelligence Detect Lies?
AI can classify patterns in text, voice, facial movement, physiology and eye behaviour, but the model is only as good as the underlying theory, labels and validation. A 2024 review in Trends in Cognitive Sciences warned that many AI deception-detection approaches have focused on technical performance without a sufficiently strong methodological and theoretical foundation.
A separate 2024 peer-reviewed critique of machine-learning polygraph approaches argued that weak labels and unresolved validity problems can make apparently sophisticated models scientifically misleading.
Why Nervousness Matters
A truthful person can be highly anxious because they fear being disbelieved, losing a job or relationship, or facing a serious allegation. Conversely, a deceptive person may be calm. This is why responsible interpretation does not equate “strong physiological response” with “lie” without reference to the protocol.
Question wording, comprehension and the person’s ability to participate meaningfully also matter.
What Makes a Credibility Test More Defensible?
Good practice indicators
- A clear explanation of what the method measures and what it does not measure.
- A protocol with published validation evidence rather than improvised questioning.
- Appropriate examiner training and quality control.
- Pre-test screening for factors that could affect participation or interpretation.
- Questions that are specific, understandable and within the validated scope.
- A documented way to handle inconclusive results.
- Secure processing of physiological or behavioural data.
- A report that avoids stating “scientifically proven lie” when the method only indicates a classified response.
Can Lie Detection Replace an Investigation?
No. In a relationship, workplace or commercial dispute, a test result should be considered alongside documents, timelines, witness evidence, digital records and other lawful facts. Our personal investigations and business investigations focus on corroboration rather than treating a single instrument as the whole case.
If the matter is connected to litigation, the instructing solicitor should decide what evidential value any test may have. Our legal and litigation support can focus on evidence that can be independently verified.
When Can a Lie-Detection Test Be Useful?
A structured test may help narrow an investigation, encourage disclosure, identify questions requiring corroboration or support a voluntary internal fact-finding process. It can also be useful where all parties understand the limitations and agree in advance how the result will be interpreted.
It is much less defensible when used as the sole basis for a high-stakes accusation, employment dismissal, criminal allegation, family decision or public claim about a person’s honesty.
Consent, Fairness and Data Protection
A credibility test processes sensitive behavioural or physiological information and can have serious consequences for the participant. Participation should be genuinely informed, the purpose should be clear, questions should be relevant and data should be retained only as long as necessary.
In employment settings, power imbalance is especially important. “Consent” may not always be the most appropriate data-protection basis simply because an employee signed a form. Organisations need to consider lawful basis, fairness, necessity and proportionality.
How We Would Explain a Result
1. Identify the protocol
State what test was used and the question it was designed to assess.
2. Describe the measured signals
Explain whether the system measured physiology, ocular behaviour or another data type.
3. Report the classification accurately
Use the terminology of the validated method rather than converting every response into the word “lie”.
4. State limitations and inconclusive outcomes
Explain what the result cannot prove and whether the test produced any uncertainty.
5. Corroborate where the decision matters
Use documents, interviews, tracing or other evidence to test the allegation independently.
False Positives, False Negatives and Base Rates Matter
Any credibility test can make two broad types of error. A false positive classifies a truthful person as deceptive; a false negative classifies a deceptive person as truthful. The practical impact of those errors depends on the decision being made. In a relationship dispute, a false positive can destroy trust. In employment, it can unfairly damage a person’s career. In security screening, even a test with apparently strong accuracy can generate many false alarms when the behaviour being searched for is rare.
This is the “base-rate” problem highlighted in scientific reviews of screening. If only a very small proportion of a large tested population is actually deceptive about the target issue, a method that is less than perfect may still identify more innocent people than true offenders. That is one reason controlled specific-issue testing and broad population screening should not be treated as scientifically equivalent.
Independent Replication Is More Valuable Than a Marketing Percentage
A strong evidence base is built when different research groups can test the same underlying method, publish methods and limitations, and obtain broadly consistent results. Vendor-funded studies can still be scientifically useful, but clients should know whether a headline accuracy claim comes from the manufacturer, an independent research team, a laboratory mock-crime design or real-world field testing.
For us, the responsible position is to present the test within those limits and to avoid converting a promising research result into a guarantee about one individual case.
The scientific standard is not “does the machine look impressive?”
The right questions are: what does it measure, how was it validated, for which population and question type, how are inconclusive results treated, and what independent evidence supports the conclusion?
Need a fact-led investigation rather than a “truth machine” promise?
We can help define the allegation, assess appropriate evidence and explain where structured credibility assessment may or may not add value. Book a confidential consultation.
Sources and References
- National Research Council / National Academies — The Polygraph and Lie Detection, 2003 consensus report.
- Ministry of Justice and HM Prison & Probation Service — Polygraph examination policy framework, updated 8 January 2026.
- GOV.UK — Mandatory polygraph tests factsheet.
- Crime and Policing Act 2026 — provisions extending polygraph licence conditions to specified offenders.
- Celniak et al., Scientific Reports, 2026 — Evaluating eye-tracking as a method for deception detection against the polygraph as deployed in practice.
- American Academy of Forensic Sciences, 2025 — Ocular-motor methods for detecting deception in a multiple-issue screening protocol.
- Fang et al., Frontiers in Psychology, 2021 — Assessing Deception in Questionnaire Surveys With Eye-Tracking.
- Wiseman et al., PLOS ONE, 2012 — The eyes don’t have it: lie detection and Neuro-Linguistic Programming.
- Trends in Cognitive Sciences, 2024 — Detecting deception with artificial intelligence: promises and perils.
- Forensic Science International: Synergy, 2024 — Polygraph-based deception detection and machine learning: Combining the worst of both worlds?